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The Department of Biological Models focuses on the development and testing of promising polymer conjugates and proteins (therapeutics) suitable for the treatment of tumors, resistance to tumor therapy, and
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concentration processes, including ultrafiltration, nanofiltration and electrodialysis, as well as processing of protein-rich fractions through dairy processes. Particular emphasis is placed on the relationship
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processes in catalysis and photochemistry and to design photo-active proteins and macromolecular catalysts. Other projects that align with the lab's general interests are also possible. For further details
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discoveries in protein function, ligand binding, and dynamics through scalable computational analysis. The ideal candidate would have a background and an interest in Computational Biology, Artificial
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expectations. Work Experience: Experience with in vivo modeling, epigenetics, molecular biology, and/or protein biochemistry techniques. Preferred Qualifications : Work Experience: Experience in pancreatic
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system models and quantifying uncertainty in their predictions. Conduct fundamental research on the formulation of probabilistic system dynamics models, including knowledge integration, likelihood
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
opportunities tailored to prepare the fellow for their chosen career trajectory in either academia or industry. Lab: https://su-lab.squarespace.com/ Qualifications Basic qualifications • Education: A Ph.D. in
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Chemically Induced Protein Interactions. Accounts of Chemical Research. https://doi.org/10.1021/acs.accounts.5c00225(link is external) Specific postdoctoral projects may include: Reconstitution and cryo-EM
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research into developing mass spectrometric strategies for Protein-Biomolecule interactions as part of a Wellcome Trust-funded collaborative grant You will manage your own academic research and
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posters. You should have a relevant PhD/DPhil in Chemistry, Chemical Biology or Biochemistry (or be close to completion), together with demonstrated knowledge of protein, sugar and/or lipid biomolecule